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- #pragma once
- // @generated by torchgen/gen.py from NativeFunction.h
- #include <c10/core/Scalar.h>
- #include <c10/core/Storage.h>
- #include <c10/core/TensorOptions.h>
- #include <c10/util/Deprecated.h>
- #include <c10/util/Optional.h>
- #include <c10/core/QScheme.h>
- #include <ATen/core/Reduction.h>
- #include <ATen/core/Tensor.h>
- #include <tuple>
- #include <vector>
- #include <ATen/ops/tanh_meta.h>
- namespace at {
- namespace native {
- struct TORCH_API structured_tanh_out : public at::meta::structured_tanh {
- void impl(const at::Tensor & self, const at::Tensor & out);
- };
- TORCH_API at::Tensor NestedTensor_tanh(const at::Tensor & self);
- TORCH_API at::Tensor & NestedTensor_tanh_(at::Tensor & self);
- TORCH_API at::Tensor tanh_sparse(const at::Tensor & self);
- TORCH_API at::Tensor & tanh_sparse_out(const at::Tensor & self, at::Tensor & out);
- TORCH_API at::Tensor & tanh_sparse_(at::Tensor & self);
- TORCH_API at::Tensor tanh_sparse_csr(const at::Tensor & self);
- TORCH_API at::Tensor & tanh_sparse_csr_out(const at::Tensor & self, at::Tensor & out);
- TORCH_API at::Tensor & tanh_sparse_csr_(at::Tensor & self);
- TORCH_API at::Tensor mkldnn_tanh(const at::Tensor & self);
- TORCH_API at::Tensor & mkldnn_tanh_(at::Tensor & self);
- TORCH_API at::Tensor tanh_quantized_cpu(const at::Tensor & self);
- } // namespace native
- } // namespace at
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